کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4508408 | 1321592 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Distinguishing overripe berries of Japanese blue honeysuckle using hyperspectral imaging analysis
ترجمه فارسی عنوان
تمیز کردن انواع توت ها از روغن زیتون آبی ژاپنی با استفاده از آنالیز تصویربرداری هیپرسیونتر
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم زراعت و اصلاح نباتات
چکیده انگلیسی
Overripe berries cannot be classified from ripe berries of Japanese blue honeysuckle using RGB color imaging analysis since they have the same color appearances. Hyperspectal imaging analysis was thus employed. First, a pixel discrimination function was generated based upon forward stepwise selection to select significant wavebands (751Â nm and 420Â nm) and linear discriminant analysis, and it was applied to all pixels of segmented berries. Then a majority rule was applied to each berry independently for fruit object classification, and the classification was improved by eroding the fruit edge area. The classification success rates of pixel discrimination and fruit object discrimination tests were 69.7% and 73.9%, respectively. This study showed the potential of identifying overripe berries using hyperspectral imaging analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering in Agriculture, Environment and Food - Volume 7, Issue 1, February 2014, Pages 22-27
Journal: Engineering in Agriculture, Environment and Food - Volume 7, Issue 1, February 2014, Pages 22-27
نویسندگان
Longsheng Fu, Hiroshi Okamoto, Youichi Shibata, Takashi Kataoka, Yongjie Cui, Rui Li,